{"id":"W3210313459","doi":"10.3390/en14217020","title":"Optimum Multi-Mini-Channels Height for Heat Enhancement under Forced Convection Condition","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Qatar Foundation","keywords":"Nusselt number; Pressure drop; Reynolds number; Mechanics; Laminar flow; Aspect ratio (aeronautics); Forced convection; Flow (mathematics); Materials science; Open-channel flow; Thermodynamics; Channel (broadcasting); Heat transfer; Physics; Engineering; Turbulence; Electrical engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020678,0.000266901,0.0002958243,0.0002709918,0.0002069729,0.000383081,0.000220078,0.0002350706,0.0008276003],"category_scores_gemma":[0.0003579319,0.0001441617,0.0002516883,0.0001829366,0.0002220254,0.0003809021,0.0002514518,0.0001790674,0.0001364215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824508,"about_ca_system_score_gemma":0.0003906785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002614773,"about_ca_topic_score_gemma":0.0008570248,"domain_scores_codex":[0.9998835,0.00001313384,0.000006724891,0.00002515326,0.0000233771,0.00004815424],"domain_scores_gemma":[0.9997259,0.00009623514,0.00006307849,0.00002523107,0.00004334279,0.00004621647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004339757,0.0001168254,0.002041135,0.0001705944,0.00001300899,0.00008963943,0.00004751769,0.02147789,0.9614598,0.0007886513,0.0002043727,0.01315656],"study_design_scores_gemma":[0.00005192424,0.001153782,0.01370767,0.00002090336,0.00005502252,0.0001782845,0.0001168509,0.08300426,0.8994667,0.0005215783,0.001662117,0.0000608577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818455,0.0003773243,0.01643896,0.00002696012,0.00001767049,0.00002151983,0.00007295522,0.00012016,0.001078884],"genre_scores_gemma":[0.9928079,0.00009250905,0.006867029,0.000005116614,0.000003507156,0.00001616303,0.00002788579,0.00001155529,0.0001682595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008276003,"threshold_uncertainty_score":0.002768636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798840451013056,"score_gpt":0.2468253043792071,"score_spread":0.2288368998690765,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}